12-04-2012, 11:00 AM
An Energy efficient approach in Heterogeneous WSN
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INTRODUCTION
WSN is common in different types of application scenarios.
It includes a set of sensor nodes deployed over a
geographical area to monitor a variety of phenomenons.
However, challenges and difficulties still exist. The sensor
nodes own limited power, processing and sensing ability.
The sensor nodes are prone to failure because of lack of
power, physical damage etc. Since the information generated
by a single node is usually incomplete or inaccurate, and the
applications need collaborative communication and
computation among multiple sensors multiple sensing
models can be used. A Heterogeneous WSN is more
complex as compared to homogeneous WSN and which
consists of a number of sensor nodes of different types
deployed in a particular area and which are collectively
working together to achieve a particular aim.
RELATED WORKS
There exist several tools for security in networks
and IDSs are important tools. Many solutions have been
proposed in traditional networks but it cannot be applied
directly to WSN because the resources of sensor nodes are
restricted. Ad-hoc and WSNs security has been studied in a
number of proposals. Zhang and Lee [13] are among the first
to study the problem of intrusion detection in wireless Adhoc
networks. They proposed architecture for a distributed
and cooperative intrusion detection system for Ad-hoc
networks; their scheme was based on statistical anomaly
detection techniques. But the scheme need much time, data
and traffic to detect intrusion. In WSNs, the nodes can not
afford the cost.
CONTRIBUTION
Here we have developed an algorithm which helps the
WSN in detecting the intruder with energy efficiency and
there by increasing the life time of the network .More over,
we have carried out the probability analysis for intrusion
detection. Two things are considered in this work.
HETEROGENEOUS WSN
need to consider these inequality of sensing and transmission
range. For example, if two nodes have different transmission
range it is better to select the one whose transmission range is
higher. In this paper, we are considering N types of sensors.
Here the sensing range and transmission range is high for
Type 1 compared to Type2 and so on.
CONCLUSIONS
This paper speaks about the minimisation of
external intrusion detection in an energy efficient way and
probability of intrusion detection in a heterogeneous wsn
deployed in a two dimensional space. This probability gives
an insight in to the required number of sensors in a given
deployment, their sensing and transmission range to
efficiently detect an intruder in a given wsn. We have
developed an analytical model for intrusion detection and
applied the same into single-sensing detection and multiplesensing
detection scenarios for heterogeneous WSNs. The
correctness of the analytical model is proved by simulation.